What are the best practices for using Conda and Pip together?

What are the best practices for using Conda and Pip together?

When using Conda and Pip together, it's best to use Conda for package management and environment creation, and Pip for packages not available in Conda. Always create a Conda environment first, then use Pip within that environment.

Why should I prefer Conda over Pip?

Conda manages dependencies and environments more effectively, especially for data science packages that require specific versions of libraries. It also handles non-Python packages.

Can I use Pip to install packages in a Conda environment?

Yes, you can use Pip to install packages in a Conda environment, but it's recommended to do so after installing the necessary packages with Conda to avoid conflicts.

What should I do if I encounter package conflicts?

If you encounter package conflicts, try to resolve them by updating Conda packages, creating a new environment, or specifying package versions explicitly.